Naijun Tang

3.1k total citations
121 papers, 2.1k citations indexed

About

Naijun Tang is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and General Health Professions. According to data from OpenAlex, Naijun Tang has authored 121 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Health, Toxicology and Mutagenesis, 15 papers in Molecular Biology and 12 papers in General Health Professions. Recurrent topics in Naijun Tang's work include Air Quality and Health Impacts (41 papers), Climate Change and Health Impacts (27 papers) and Toxic Organic Pollutants Impact (18 papers). Naijun Tang is often cited by papers focused on Air Quality and Health Impacts (41 papers), Climate Change and Health Impacts (27 papers) and Toxic Organic Pollutants Impact (18 papers). Naijun Tang collaborates with scholars based in China, United States and Netherlands. Naijun Tang's co-authors include Liwen Zhang, Jie Chen, Guang‐Hui Dong, Xi Chen, Ling Leng, Xueli Yang, Anqi Shan, Yungling Leo Lee, Pengfei Zhang and Mengfan Yan and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Naijun Tang

114 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Naijun Tang China 26 1.3k 248 233 218 138 121 2.1k
Wenqian Huo China 33 1.9k 1.5× 498 2.0× 305 1.3× 295 1.4× 110 0.8× 175 3.4k
Jong‐Han Leem South Korea 30 1.7k 1.3× 403 1.6× 165 0.7× 112 0.5× 74 0.5× 127 2.8k
Elena Colicino United States 29 1.6k 1.2× 359 1.4× 160 0.7× 689 3.2× 161 1.2× 131 2.9k
Thomas J. Luben United States 27 1.9k 1.4× 468 1.9× 303 1.3× 94 0.4× 67 0.5× 82 2.5k
Nicole C. Deziel United States 28 1.0k 0.8× 320 1.3× 150 0.6× 173 0.8× 153 1.1× 116 2.2k
Jixuan Ma China 28 1.1k 0.9× 220 0.9× 120 0.5× 262 1.2× 49 0.4× 117 2.3k
Marie Frederiksen Denmark 27 1.8k 1.4× 254 1.0× 191 0.8× 174 0.8× 176 1.3× 86 2.6k
Premkumari Kumarathasan Canada 22 913 0.7× 200 0.8× 217 0.9× 205 0.9× 57 0.4× 65 1.6k
Jian Hou China 26 1.5k 1.1× 290 1.2× 290 1.2× 188 0.9× 55 0.4× 152 2.4k
Huanhuan Zhang China 26 830 0.6× 259 1.0× 50 0.2× 327 1.5× 119 0.9× 128 2.1k

Countries citing papers authored by Naijun Tang

Since Specialization
Citations

This map shows the geographic impact of Naijun Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naijun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naijun Tang more than expected).

Fields of papers citing papers by Naijun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naijun Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naijun Tang. The network helps show where Naijun Tang may publish in the future.

Co-authorship network of co-authors of Naijun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Naijun Tang. A scholar is included among the top collaborators of Naijun Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naijun Tang. Naijun Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Jingting, Dan Wang, Hongyue Sun, et al.. (2025). Prenatal exposure to bisphenols, metals, and risk of fetal chromosome numerical abnormalities in high-risk pregnancies: Independent, combined, and interactive effects. Journal of Environmental Sciences. 160. 51–59. 1 indexed citations
2.
Yang, H.J., Yiqin Wang, Peng Shi, et al.. (2025). Multi-omic insight into the causal networks of arsenic-related genes in the pathogenesis of type 2 diabetes mellitus. Ecotoxicology and Environmental Safety. 305. 119195–119195.
3.
Wei, Ruihua, Bei Du, A. R. MacKenzie, et al.. (2025). Benefits of clean air for school children's vision health. PNAS Nexus. 4(9). pgaf279–pgaf279.
5.
Zhang, Yin, Ting Wang, Lin Wu, et al.. (2024). Effects of heat waves and cold spells on blood parameters: a cohort study of blood donors in Tianjin, China. Environmental Health and Preventive Medicine. 29(0). 25–25. 1 indexed citations
6.
Pan, Chengjie, Mengfan Yan, Zhongli Wang, et al.. (2024). Effects of PM2.5 components on hypertension and diabetes: Assessing the mitigating influence of green spaces. The Science of The Total Environment. 959. 178219–178219. 3 indexed citations
7.
Huang, Wenzhong, Jing Wei, Xueli Yang, et al.. (2024). Association between Long-Term Exposure to PM2.5 Inorganic Chemical Compositions and Cardiopulmonary Mortality: A 22-Year Cohort Study in Northern China. Environment & Health. 2(8). 530–540. 12 indexed citations
8.
Deng, Yun, Shujun Yi, Wenya Liu, et al.. (2024). Identification of Primary Organophosphate Esters Contributing to Enhanced Risk of Gestational Diabetes Mellitus Based on a Case-Control Study. Environmental Science & Technology. 58(40). 17532–17542. 7 indexed citations
9.
10.
Ma, Zhao, Weiqin Li, Yijuan Qiao, et al.. (2023). Early prenatal exposure to air pollutants and congenital heart disease: a nested case-control study. Environmental Health and Preventive Medicine. 28(0). 4–4. 2 indexed citations
12.
Zhang, Ai, Rui Wang, Qianfeng Liu, et al.. (2022). Breast adipose metabolites mediates the association of tetrabromobisphenol a with breast cancer: A case-control study in Chinese population. Environmental Pollution. 316. 120701–120701. 6 indexed citations
13.
Xu, Jiahui, Ni Shu, Yuming Wang, et al.. (2022). Shift work and nonalcoholic fatty liver disease incidence among Chinese rail workers: a 4-year longitudinal cohort study. International Archives of Occupational and Environmental Health. 96(1). 179–190. 11 indexed citations
14.
Li, Xuejun, Fengju Song, Xiaotu Liu, et al.. (2022). Perfluoroalkyl substances (PFASs) as risk factors for breast cancer: a case–control study in Chinese population. Environmental Health. 21(1). 83–83. 24 indexed citations
15.
Ma, Zhao, Xue Cao, Ying Chang, et al.. (2021). Association between gestational exposure and risk of congenital heart disease: A systematic review and meta-analysis. Environmental Research. 197. 111014–111014. 30 indexed citations
16.
Ma, Zhao, Xue Cao, Liwen Zhang, et al.. (2021). Association between long-term exposure to sulfur dioxide pollution and incidence of coronary heart disease in northern China: A 12-year retrospective cohort study. Atmospheric Pollution Research. 12(4). 60–65. 1 indexed citations
17.
Li, Xiaodong, Dan Tian, Zhuoyu Sun, et al.. (2020). Molecular characterization of methicillin-resistant and -susceptible Staphylococcus aureus recovered from hospital personnel. Journal of Medical Microbiology. 69(12). 1332–1338. 6 indexed citations
18.
Wu, Hui, Huijun Li, Haibin Li, et al.. (2019). Evaluation of health-related quality of life in adults with and without dyslipidaemia in rural areas of central China. Quality of Life Research. 29(4). 925–939. 14 indexed citations
19.
Li, Changping, et al.. (2017). Psychological distress and type 2 diabetes mellitus: a 4-year policemen cohort study in China. BMJ Open. 7(1). e014235–e014235. 13 indexed citations
20.
Tang, Naijun, et al.. (2012). [Correlation between atmospheric polycyclic aromatic hydrocarbons exposure and urinary hydroxyl metabolites of polycyclic aromatic hydrocarbons in elderly population in Tianjin, China].. PubMed. 30(12). 908–12. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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